19.9.2 Hand-Held Camera Reconstruction, Phone Based Reconstruction, Shape from Motion

Chapter Contents (Back)
Motion, Structure. Shape from Motion. Hand Held. Phone. Mobile Device.

Sato, T.[Tomokazu], Kanbara, M.[Masayuki], Yokoya, N.[Naokazu], Takemura, H.[Haruo],
Dense 3-D Reconstruction of an Outdoor Scene by Hundreds-Baseline Stereo Using a Hand-Held Video Camera,
IJCV(47), No. 1-3, April-June 2002, pp. 119-129.
DOI Link 0203
BibRef
Earlier: SMBV01(xx-yy). 0110
BibRef

Fudono, K.[Kenji], Sato, T.[Tomokazu], Yokoya, N.[Naokazu],
Interactive 3-D Modeling System Using a Hand-Held Video Camera,
SCIA05(1248-1258).
Springer DOI 0506
BibRef

Pollefeys, M.[Marc], Van Gool, L.J.[Luc J.], Vergauwen, M.[Maarten], Verbiest, F.[Frank], Cornelis, K.[Kurt], Tops, J.[Jan], Koch, R.[Reinhard],
Visual Modeling with a Hand-Held Camera,
IJCV(59), No. 3, September-October 2004, pp. 207-232.
DOI Link 0405
Based on tracked or matched features the relations between multiple views are computed. From this both the structure of the scene and the motion of the camera are retrieved. The ambiguity on the reconstruction is restricted from projective to metric through self-calibration. A flexible multi-view stereo matching scheme is used to obtain a dense estimation of the surface geometry. From the computed data different types of visual models are constructed. BibRef

Hannuksela, J.[Jari], Sangi, P.[Pekka], Heikkila, J.[Janne],
Vision-based motion estimation for interaction with mobile devices,
CVIU(108), No. 1-2, October-November 2007, pp. 188-195.
Elsevier DOI 0710
User interfaces, Handheld devices, Global motion estimation BibRef

Heikkilä, J.[Janne], Sangi, P.[Pekka], Silvén, O.[Olli],
Camera Motion Estimation from Non-stationary Scenes Using EM-based Motion Segmentation,
ICPR00(Vol I: 370-374).
IEEE DOI 0009
BibRef

Neubert, J.[Jeremiah], Pretlove, J.[John], Drummond, T.W.[Tom W.],
Rapidly constructed appearance models for tracking in augmented reality applications,
MVA(23), No. 5, September 2012, pp. 843-856.
WWW Link. 1208
Set of planes. Hand held video, indicate location of object. Models. BibRef

Sun, L.[Li], Chen, K.[Ke], Song, M.L.[Ming-Li], Tao, D.C.[Da-Cheng], Chen, G.[Gang], Chen, C.[Chun],
Robust, Efficient Depth Reconstruction With Hierarchical Confidence-Based Matching,
IP(26), No. 7, July 2017, pp. 3331-3343.
IEEE DOI 1706
Image reconstruction, Mobile handsets, Optimization, Pipelines, Robustness, Depth recovery, confidence map, depth reconstruction, multiview stereo, stereo matching BibRef

Ummenhofer, B.[Benjamin], Brox, T.[Thomas],
Global, Dense Multiscale Reconstruction for a Billion Points,
IJCV(125), No. 1-3, December 2018, pp. 82-94.
Springer DOI 1711
BibRef
Earlier: ICCV15(1341-1349)
IEEE DOI 1602
BibRef
Earlier:
Dense 3d Reconstruction with a Hand-held Camera,
DAGM12(103-112).
Springer DOI 1209
3D surface from a set of oriented poitns with scale. Cost function. BibRef

Liu, Y.[Yangdong], Gao, W.[Wei], Hu, Z.Y.[Zhan-Yi],
Geometrically stable tracking for depth images based 3D reconstruction on mobile devices,
PandRS(143), 2018, pp. 222-232.
Elsevier DOI 1808
Visual-SLAM, Dense mapping, ICP algorithm, Sampling algorithm, On-line, Mobile device BibRef

Jaud, M.[Marion], Kervot, M.[Matthieu], Delacourt, C.[Christophe], Bertin, S.[Stéphane],
Potential of Smartphone SfM Photogrammetry to Measure Coastal Morphodynamics,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Zhao, Q., Dai, F., Lv, J., Ma, Y., Zhang, Y.,
Panoramic Light Field From Hand-Held Video and Its Sampling for Real-Time Rendering,
CirSysVideo(30), No. 4, April 2020, pp. 1011-1021.
IEEE DOI 2004
Cameras, Rendering (computer graphics), Streaming media, Light fields, Real-time systems, Apertures, integer linear programming BibRef

Bessin, Z.[Zoé], Jaud, M.[Marion], Letortu, P.[Pauline], Vassilakis, E.[Emmanuel], Evelpidou, N.[Niki], Costa, S.[Stéphane], Delacourt, C.[Christophe],
Smartphone Structure-from-Motion Photogrammetry from a Boat for Coastal Cliff Face Monitoring Compared with Pleiades Tri-Stereoscopic Imagery and Unmanned Aerial System Imagery,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Li, K.[Kailin], Yang, L.X.[Li-Xin], Zhen, H.Y.[Hao-Yu], Lin, Z.[Zenan], Zhan, X.Y.[Xin-Yu], Zhong, L.C.[Li-Cheng], Xu, J.[Jian], Wu, K.[Kejian], Lu, C.[Cewu],
Chord: Category-level Hand-held Object Reconstruction via Shape Deformation,
ICCV23(9410-9420)
IEEE DOI Code:
WWW Link. 2401
BibRef


Hampali, S.[Shreyas], Hodan, T.[Tomas], Tran, L.[Luan], Ma, L.[Lingni], Keskin, C.[Cem], Lepetit, V.[Vincent],
In-Hand 3D Object Scanning from an RGB Sequence,
CVPR23(17079-17088)
IEEE DOI 2309
BibRef

Li, Z.Y.[Zhen-Yu], Chen, Z.[Zehui], Xu, J.[Jialei], Liu, X.M.[Xian-Ming], Jiang, J.J.[Jun-Jun],
Litedepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices,
AIM22(507-523).
Springer DOI 2304
BibRef

Sandström, E.[Erik], Oswald, M.R.[Martin R.], Kumar, S.[Suryansh], Weder, S.[Silvan], Yu, F.[Fisher], Sminchisescu, C.[Cristian], Van Gool, L.J.[Luc J.],
Learning Online Multi-Sensor Depth Fusion,
ECCV22(XXXII:87-105).
Springer DOI 2211

WWW Link. BibRef

Chugunov, I.[Ilya], Zhang, Y.X.[Yu-Xuan], Heide, F.[Felix],
Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography,
CVPR23(13240-13251)
IEEE DOI 2309
BibRef

Chugunov, I.[Ilya], Zhang, Y.X.[Yu-Xuan], Xia, Z.H.[Zhi-Hao], Zhang, X.[Xuaner], Chen, J.[Jiawen], Heide, F.[Felix],
The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement,
CVPR22(2842-2852)
IEEE DOI 2210
Image sensors, Photography, Presses, Streaming media, Sensors, Pattern recognition, 3D from multi-view and sensors, RGBD sensors and analytics BibRef

Maset, E., Cucchiaro, S., Cazorzi, F., Crosilla, F., Fusiello, A., Beinat, A.,
Investigating the Performance of a Handheld Mobile Mapping System In Different Outdoor Scenarios,
ISPRS21(B1-2021: 103-109).
DOI Link 2201
BibRef

Zhang, Z.[Ziyu], Wang, Y.C.[Yi-Cheng], Huang, Z.L.[Zi-Long], Luo, G.Z.[Guo-Zhong], Yu, G.[Gang], Fu, B.[Bin],
A Simple Baseline for Fast and Accurate Depth Estimation on Mobile Devices,
MAI21(2466-2471)
IEEE DOI 2109
Performance evaluation, Estimation, Feature extraction, Mobile handsets, Pattern recognition BibRef

Flood, G.[Gabrielle], Gillsjö, D.[David], Persson, P.[Patrik], Heyden, A.[Anders], Åström, K.[Kalle],
Generic Merging of Structure from Motion Maps with a Low Memory Footprint,
ICPR21(4385-4392)
IEEE DOI 2105
Structure from motion, Statistical analysis, Merging, Memory management, Tools, Robustness, Mobile handsets BibRef

Long, X.X.[Xiao-Xiao], Liu, L.J.[Ling-Jie], Theobalt, C.[Christian], Wang, W.P.[Wen-Ping],
Occlusion-aware Depth Estimation with Adaptive Normal Constraints,
ECCV20(IX:640-657).
Springer DOI 2011
BibRef

Lombardi, M., Riccardi, A., Signoroni, A.,
Increasing Tracking Robustness for Low-complexity Real-time Reconstructions With Handheld Optical Scanners,
Optical3D19(115-120).
DOI Link 1912
BibRef

Masiero, A., Guarnieri, A., Vettore, A.,
Assessment of a Portable Tof Camera and Comparison With Smartphone Stereo Vision,
LC3D19(187-193).
DOI Link 1912
BibRef

Lewis, M., Oswald, C.,
Can An Inexpensive Phone App Compare to Other Methods When It Comes To 3d Digitization of Ship Models,
Underwater19(107-111).
DOI Link 1904
BibRef

Mukasa, T., Xu, J., Bjorn, S.,
3D Scene Mesh from CNN Depth Predictions and Sparse Monocular SLAM,
DeepLearn-G17(912-919)
IEEE DOI 1802
Cameras, Mobile handsets, Simultaneous localization and mapping, Strain, Surface reconstruction, BibRef

Kim, J.H.[Jae-Hean], Kang, H.[Hyun], Choi, J.S.[Jin Sung], Park, C.J.[Chang Joon],
Shape Acquisition System Using an Handheld Line Laser Pointer Without Markers,
ACIVS17(688-700).
Springer DOI 1712
BibRef

Wang, Z.R.[Zhi-Rui], Kneip, L.[Laurent],
Towards Space Carving with a Hand-Held Camera,
CVS17(47-61).
Springer DOI 1711
BibRef

Cooper, J., Azhar, M., Gee, T., van der Mark, W., Delmas, P., Gimel'farb, G.L.[Georgy L.],
A Raspberry Pi 2-based stereo camera depth meter,
MVA17(274-277)
DOI Link 1708
Calibration, Cameras, Lighting, Multiplexing, Pipelines, Switches BibRef

Kashiwagi, N.[Naoaki], Sugiura, Y.[Yuta], Miyata, N.[Natsuki], Tada, M.[Mitsunori], Sugimoto, M.[Maki], Saito, H.[Hideo],
Measuring Grasp Posture Using an Embedded Camera,
HAAHDC17(42-47)
IEEE DOI 1609
cameras, computerised instrumentation, object detection, spatial variables measurement, cylindrical object, embedded camera, fish eye camera, grasp posture measurement, image processing, measurement system, Cameras, Grasping, Image reconstruction, Image segmentation, Thumb BibRef

Ishihara, T., Vongkulbhisal, J., Kitani, K.M., Asakawa, C.,
Beacon-Guided Structure from Motion for Smartphone-Based Navigation,
WACV17(769-777)
IEEE DOI 1609
Acceleration, Computational modeling, Merging, Navigation, Solid modeling, Visualization BibRef

Muratov, O., Slynko, Y., Chernov, V., Lyubimtseva, M., Shamsuarov, A., Bucha, V.,
3DCapture: 3D Reconstruction for a Smartphone,
ECVW16(893-900)
IEEE DOI 1612
BibRef

Chan, C.S.[Cheng-Sheng], Chen, S.Z.[Shou-Zhong], Xie, P.X.[Pei-Xuan], Chang, C.C.[Chiung-Chih], Sun, M.[Min],
Recognition from Hand Cameras: A Revisit with Deep Learning,
ECCV16(IV: 505-521).
Springer DOI 1611
BibRef

Alsubaie, N., El-Sheimy, N.,
The Feasibility Of 3d Point Cloud Generation from Smartphones,
ISPRS16(B5: 621-626).
DOI Link 1610
BibRef

Kersten, T.P., Przybilla, H.J., Lindstaedt, M., Tschirschwitz, F., Misgaiski-Hass, M.,
Comparative Geometrical Investigations Of Hand-held Scanning Systems,
ISPRS16(B5: 507-514).
DOI Link 1610
BibRef

Hellwich, O., Rose, A., Bien, T., Malolepszy, C., Mucha, D., Krüger, T.,
Patient Registration Using Photogrammetric Surface Reconstruction From Smartphone Imagery,
ISPRS16(B5: 829-833).
DOI Link 1610
BibRef

Tsukada, S.[Syouta], Ho, Y.[Yishin], Tagawa, N.[Norio], Okubo, K.[Kan],
Accuracy Improvement for Depth from Small Irregular Camera Motions and Its Performance Evaluation,
ICIAR15(306-315).
Springer DOI 1507
BibRef

Hartl, A.[Andreas], Arth, C.[Clemens], Schmalstieg, D.[Dieter],
AR-Based Hologram Detection on Security Documents Using a Mobile Phone,
ISVC14(II: 335-346).
Springer DOI 1501
Use target tracking technique, multiple images. BibRef

Yu, F.[Fisher], Gallup, D.[David],
3D Reconstruction from Accidental Motion,
CVPR14(3986-3993)
IEEE DOI 1409
3D Vision, Multiview Stereo, Structure from Motion BibRef

Ladai, A.D., Miller, J.,
Point Cloud Generation from sUAS-Mounted iPhone Imagery: Performance Analysis,
LandImaging14(201-205).
DOI Link 1411
BibRef

Sirmacek, B., Lindenbergh, R.,
Accuracy assessment of building point clouds automatically generated from iphone images,
CloseRange14(547-552).
DOI Link 1411
BibRef

Chen, M.H.[Min-Hung], Chiang, C.F.[Ching-Fan], Lu, Y.C.[Yi-Chang],
Depth estimation for hand-held light field cameras under low light conditions,
IC3D14(1-4)
IEEE DOI 1503
Arrays BibRef

Kang, Z.L.[Zhuo-Liang], Medioni, G.[Gerard],
Progressive 3D Model Acquisition with a Commodity Hand-Held Camera,
WACV15(270-277)
IEEE DOI 1503
Adaptive optics BibRef

Hartl, A.[Andreas], Gruber, L.[Lukas], Arth, C.[Clemens], Hauswiesner, S.[Stefan], Schmalstieg, D.[Dieter],
Rapid reconstruction of small objects on mobile phones,
ECVW11(20-27).
IEEE DOI 1106
BibRef

Strobl, K.H., Mair, E., Bodenmüller, T., Kielhöfer, S., Sepp, W., Suppa, M., Burschka, D., Hirzinger, G.,
The Self-Referenced DLR 3D-Modeler,
IROS09(21-28). BibRef 0900

Strobl, K.H., Mair, E., Hirzinger, G.,
Image-Based Pose Estimation for 3-D Modeling in Rapid, Hand-Held Motion,
ICRA11(2593-2600). BibRef 1100

Strobl, K.H.[Klaus H.],
Loop Closing for Visual Pose Tracking during Close-Range 3-D Modeling,
ISVC14(I: 390-401).
Springer DOI 1501
Combined with laser scanner. BibRef

Middelberg, S.[Sven], Sattler, T.[Torsten], Untzelmann, O.[Ole], Kobbelt, L.[Leif],
Scalable 6-DOF Localization on Mobile Devices,
ECCV14(II: 268-283).
Springer DOI 1408
Combine mobile device with server processing. BibRef

Ham, C.[Christopher], Lucey, S.[Simon], Singh, S.[Surya],
Hand Waving Away Scale,
ECCV14(IV: 279-293).
Springer DOI 1408
Metric reconstruction with hand held camera. BibRef

Jiang, H.Q.[Han-Qing], Liu, H.M.[Hao-Min], Tan, P.[Ping], Zhang, G.F.[Guo-Feng], Bao, H.J.[Hu-Jun],
3D Reconstruction of Dynamic Scenes with Multiple Handheld Cameras,
ECCV12(II: 601-615).
Springer DOI 1210
BibRef

Kang, Z.L.[Zhuo-Liang], Medioni, G.[Gerard],
Fast dense 3D reconstruction using an adaptive multiscale discrete-continuous variational method,
WACV14(53-60)
IEEE DOI 1406
Accuracy With hand-held camera. BibRef

Wollner, P.[Patrick], Arandjelovic, O.D.[Ognjen D.],
Freehand 3D scanning in a mobile environment using video,
HCI11(445-452).
IEEE DOI 1201
BibRef

Coudrin, B.[Benjamin], Devy, M.[Michel], Orteu, J.J.[Jean-José], Brèthes, L.[Ludovic],
Precise Registration of 3D Images Acquired from a Hand-Held Visual Sensor,
ACIVS11(712-723).
Springer DOI 1108
BibRef

Stühmer, J.[Jan], Gumhold, S.[Stefan], Cremers, D.[Daniel],
Real-Time Dense Geometry from a Handheld Camera,
DAGM10(11-20).
Springer DOI 1009
BibRef

Chen, Z.[Zen], Wu, C.H.[Chang-Hao], Chen, W.C.[Wen-Chao],
3D Robust Reconstruction using A Hand-Held Digital Camera,
3DTV08(305-308).
IEEE DOI 0805
BibRef

Popescu, V.[Voicu], Dauble, J.[Jordan], Mei, C.H.[Chun-Hui], Sacks, E.[Elisha],
An Efficient Error-Bounded General Camera Model,
3DPVT06(121-128).
IEEE DOI 0606
BibRef

Popescu, V., Sacks, E., Bahmutov, G.,
Interactive modeling from dense color and sparse depth,
3DPVT04(430-437).
IEEE DOI 0412
BibRef
Earlier:
The Modelcamera: A Hand-Held Device for Interactive Modeling,
3DIM03(285-292).
IEEE DOI 0311
BibRef

Gordon, I.[Iryna], Lowe, D.G.[David G.],
What and Where: 3D Object Recognition with Accurate Pose,
CLOR06(67-82).
Springer DOI 0711
System for constructing 3D metric models from multiple images taken with an uncalibrated handheld camera, recognizing these models in new images, and precisely solving for object pose. BibRef

Brown, M.[Matthew], Lowe, D.G.[David G.],
Unsupervised 3D object recognition and reconstruction in unordered datasets,
3DIM05(56-63).
IEEE DOI 0508
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Rolling Shutter and Shape from Motion .


Last update:Mar 16, 2024 at 20:36:19